{"id":"W2955462295","doi":"","title":"Introducing haptic feedback through object touch changes visual information supporting 2D object grasp from relative to absolute","year":2015,"lang":"en","type":"article","venue":"Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Haptic technology; GRASP; Object (grammar); Terminal (telecommunication); Computer vision; Computer science; Artificial intelligence; Psychology; Communication; Human–computer interaction; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033912,0.0003215389,0.0003484316,0.0002121882,0.0001470645,0.0008128285,0.000368783,0.00046901,0.005574758],"category_scores_gemma":[0.002296964,0.0003073183,0.0002435139,0.0001112378,0.0007007986,0.00105979,0.001127249,0.0005917016,0.0002236762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002202991,"about_ca_system_score_gemma":0.0002795649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003364026,"about_ca_topic_score_gemma":0.0004669627,"domain_scores_codex":[0.9997163,0.00002888456,0.00003739302,0.00007369118,0.00007951118,0.0000641559],"domain_scores_gemma":[0.9989956,0.0005060206,0.0002088228,0.0001131302,0.00005852752,0.0001179619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006644604,0.00004200929,0.0001944453,0.00006766878,0.000002831089,0.00003437951,0.00004748143,0.00002637993,0.9967074,0.0001229289,0.00002367884,0.002066391],"study_design_scores_gemma":[0.0004547824,0.003163383,0.09035703,0.00006650687,0.00009523,0.0006911437,0.0003780824,0.003787294,0.8966258,0.001727919,0.00257491,0.00007790983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967264,0.0001159907,0.002092548,0.00004820657,0.00003306958,0.00002299874,0.00006021054,0.00004335951,0.00085732],"genre_scores_gemma":[0.9948201,0.0001010231,0.004250053,0.00008974199,0.00001156884,0.00003343198,0.00007616065,0.00003597533,0.0005818101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005574758,"threshold_uncertainty_score":0.01864946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374816482732876,"score_gpt":0.2744835372402697,"score_spread":0.250735372412941,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}